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The Lightweight Charts™ library is the best choice for you if you want to display financial data as an interactive chart on your web page without affecting your web page loading speed and performance.

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Chartist is a simple responsive charting library built with SVG. There are hundreds of nice charting libraries already out there, but they are either:

🪄 Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.

Fast, extensible financial charts for the web. The open-source core of Vela by LuxAlgo.

js) is a free, open-source JavaScript library for visualizing data. Its low-level approach built on web standards offers unparalleled flexibility in authoring dynamic, data-driven graphics.

py is an interactive, open-source, and browser-based graphing library for Python :sparkles:

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at 100,000 pts/ms afterwards.

Simple HTML5 Charts using the tag

Recharts is a Redefined chart library built with React and D3.

Open-source JavaScript charting library behind Plotly and Dash

To keep your bundle size small, we recommend manually importing the components and charts you need from ECharts. To make this easier, we’ve created an import code generator. Simply paste your option code into the tool, and it will generate the exact import statements for you.

Vega-Altair is a declarative statistical visualization library for Python. With Vega-Altair, you can spend more time understanding your data and its meaning. Vega-Altair's API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification.

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets.

G2 is a visualization grammar for dashboard building, data exploration and storytelling.

Active: Formidable is actively working on this project, and we expect to continue to work for the foreseeable future. Bug reports, feature requests and pull requests are welcome.